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Since sequential information plays an important role in modeling user behaviors, various sequential recommendation methods have been proposed.
Learning representations by back-propagating errors
D. E. Rumelhart, G. E. Hinton, and R. J. Williams · 1988
Earlier work this paper cites.
Bpr: Bayesian personalized ranking from implicit feedback
S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme · 2009
Earlier work this paper cites.
Recurrent neural network based language model
T. Mikolov, M. Karafiát, L. Burget, J. Cernockỳ, and S. Khudanpur · 2010
Earlier work this paper cites.
Factorizing personalized markov chains for next-basket recommendation
S. Rendle, C. Freudenthaler, and L. Schmidt-Thieme · 2010
Earlier work this paper cites.
Context-aware recommender systems
G. Adomavicius and A. Tuzhilin · 2011
Earlier work this paper cites.
Fast context-aware recommendations with factorization machines
S. Rendle, Z. Gantner, C. Freudenthaler, and L. Schmidt-Thieme · 2011
Cited alongside, same era.
Tfmap: Optimizing map for top-n context-aware recommendation
Y. Shi, A. Karatzoglou, L. Baltrunas, M. Larson, A. Hanjalic, and N. Oliver · 2012
Cited alongside, same era.
Cars2: Learning context-aware representations for context-aware recommendations
Y. Shi, A. Karatzoglou, L. Baltrunas, M. Larson, and A. Hanjalic · 2014
Cited alongside, same era.
Sequential click prediction for sponsored search with recurrent neural networks
Y. Zhang, H. Dai, C. Xu, J. Feng, T. Wang, J. Bian, B. Wang, and T.-Y. Liu · 2014
Cited alongside, same era.
Cot: Contextual operating tensor for context-aware recommender systems
Q. Liu, S. Wu, and L. Wang · 2015
Cited alongside, same era.
Learning hierarchical representation model for next basket recommendation
P. Wang, J. Guo, Y. Lan, J. Xu, S. Wan, and X. Cheng · 2015
Later among the works it cites.
Predicting the next location: A recurrent model with spatial and temporal contexts
Q. Liu, S. Wu, L. Wang, and T. Tan · 2016
Closest in time.
Contextual operation for recommender systems
S. Wu, Q. Liu, L. Wang, and T. Tan · 2016
Closest in time.
A dynamic recurrent model for next basket recommendation
F. Yu, Q. Liu, S. Wu, L. Wang, and T. Tan · 2016
Closest in time.
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